Youness El idrissi

Hired early and contributed to scaling from 24 to 150+ in France office, fostering a high-stakes, highly technical scale-up environment • Created and maintained high-performance BigQuery SQL queries at scale to reliably power all critical customer-facing dashboards (JP Morgan, Deutsche Bank ...), ensuring data accuracy and freshness for critical product features. All SQL queries were Terraform templates to be promoted and tested on 4 environments before PROD. • Reduce by 80% customer review triaging time by deploying NLP models for sentiment analysis and topic clustering • Maintained and monitored Google Dataflow reading from multiple sources writing to GCS • Data Volume: 100s of Billions of rows, BigQuery tables and SQL queries needed to be optimized for load and processing. Hundreds of BI datasets and 100s of BI ETLs. • BigQuery, GCS, Cloud Run, Dataflow, Dataform, Vertex AI, Python, Terraform, Domo

Developed, maintained, and published open-source Python (from scratch) and Java SDKs, ensuring high-quality, reusable compo- nents for external developers on the Symphony platform. • Design and develop of a middleware using Kafka, Spring and MongoDB to serve external platform organizations. • Contributed to the development and maintenance of both legacy monolith and new microservices, operating in a highly rigorous engineering environment that enforced minimum 95% testing coverage verification on every Pull Request. • Assumed a rotating "full-time fireman" role for client support, demonstrating deep ownership and rapid problem-solving skills to ensure high availability and stability of core platform services. • Python, Java 8/11, Quarkus, Spring boot, Kafka (Distributed Systems), mongoDB (NoSQL), AWS

• Experimenting with matrix factorization algorithms for recommender systems • Creating a set of features that can be used as input to the learning algorithm • Design evaluation metrics to determine the quality of the • MLflow, MySQL, Linux, Google BigQuery, Vertex AI